developer_uid: chai_backend_admin
submission_id: chaiml-1107-quang-ir-mi_97338_v1
model_name: training123
model_group: ChaiML/1107-quang-ir-mix
status: torndown
timestamp: 2025-11-11T08:21:33+00:00
num_battles: 5454
num_wins: 2637
celo_rating: 1299.11
family_friendly_score: 0.5369999999999999
family_friendly_standard_error: 0.007051680650738517
submission_type: basic
model_repo: ChaiML/1107-quang-ir-mixall-cld-i8a6-dpohrd-f5000-dpo_multsth25k_0164641ep_2e6ct
model_architecture: MistralForCausalLM
model_num_parameters: 24096691200.0
best_of: 8
max_input_tokens: 2048
max_output_tokens: 64
reward_model: default
latencies: [{'batch_size': 1, 'throughput': 0.3812329214531063, 'latency_mean': 2.6229684352874756, 'latency_p50': 2.609537124633789, 'latency_p90': 2.9004568338394163}, {'batch_size': 2, 'throughput': 0.5745989582429308, 'latency_mean': 3.4725899016857147, 'latency_p50': 3.4654042720794678, 'latency_p90': 3.805692434310913}, {'batch_size': 3, 'throughput': 0.7069828033933561, 'latency_mean': 4.228583705425263, 'latency_p50': 4.217987060546875, 'latency_p90': 4.594308137893677}, {'batch_size': 4, 'throughput': 0.8068460864581839, 'latency_mean': 4.9370694875717165, 'latency_p50': 4.947664141654968, 'latency_p90': 5.573455357551574}, {'batch_size': 5, 'throughput': 0.8643549973211574, 'latency_mean': 5.756844625473023, 'latency_p50': 5.758354902267456, 'latency_p90': 6.5762203454971315}]
gpu_counts: {'NVIDIA L40S': 1}
display_name: training123
is_internal_developer: True
language_model: ChaiML/1107-quang-ir-mixall-cld-i8a6-dpohrd-f5000-dpo_multsth25k_0164641ep_2e6ct
model_size: 24B
ranking_group: single
throughput_3p7s: 0.62
us_pacific_date: 2025-11-08
win_ratio: 0.4834983498349835
generation_params: {'temperature': 1.0, 'top_p': 1.0, 'min_p': 0.0, 'top_k': 80, 'presence_penalty': 0.0, 'frequency_penalty': 0.0, 'stopping_words': ['\n', '</s>', 'You:', '####'], 'max_input_tokens': 2048, 'best_of': 8, 'max_output_tokens': 64}
formatter: {'memory_template': "{bot_name}'s persona: {memory}", 'prompt_template': '', 'bot_template': '{bot_name}: {message}\n', 'user_template': 'You: {message}\n', 'response_template': '####\n{bot_name}:', 'truncate_by_message': True}
Resubmit model
Shutdown handler not registered because Python interpreter is not running in the main thread
run pipeline %s
run pipeline stage %s
Running pipeline stage MKMLizer
Starting job with name chaiml-1107-quang-ir-mi-97338-v1-mkmlizer
Waiting for job on chaiml-1107-quang-ir-mi-97338-v1-mkmlizer to finish
chaiml-1107-quang-ir-mi-97338-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
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chaiml-1107-quang-ir-mi-97338-v1-mkmlizer: ║ ║
chaiml-1107-quang-ir-mi-97338-v1-mkmlizer: ║ Version: 0.30.2 ║
chaiml-1107-quang-ir-mi-97338-v1-mkmlizer: ║ Features: FLYWHEEL, CUDA ║
chaiml-1107-quang-ir-mi-97338-v1-mkmlizer: ║ Copyright 2023-2025 MK ONE TECHNOLOGIES Inc. ║
chaiml-1107-quang-ir-mi-97338-v1-mkmlizer: ║ https://mk1.ai ║
chaiml-1107-quang-ir-mi-97338-v1-mkmlizer: ║ ║
chaiml-1107-quang-ir-mi-97338-v1-mkmlizer: ║ The license key for the current software has been verified as ║
chaiml-1107-quang-ir-mi-97338-v1-mkmlizer: ║ belonging to: ║
chaiml-1107-quang-ir-mi-97338-v1-mkmlizer: ║ ║
chaiml-1107-quang-ir-mi-97338-v1-mkmlizer: ║ Chai Research Corp. ║
chaiml-1107-quang-ir-mi-97338-v1-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
chaiml-1107-quang-ir-mi-97338-v1-mkmlizer: ║ Expiration: 2028-03-31 23:59:59 ║
chaiml-1107-quang-ir-mi-97338-v1-mkmlizer: ║ ║
chaiml-1107-quang-ir-mi-97338-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
chaiml-1107-quang-ir-mi-97338-v1-mkmlizer: Downloaded to shared memory in 57.971s
chaiml-1107-quang-ir-mi-97338-v1-mkmlizer: Checking if ChaiML/1107-quang-ir-mixall-cld-i8a6-dpohrd-f5000-dpo_multsth25k_0164641ep_2e6ct already exists in ChaiML
chaiml-1107-quang-ir-mi-97338-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpvbjlst3u, device:0
chaiml-1107-quang-ir-mi-97338-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
chaiml-1107-quang-ir-mi-97338-v1-mkmlizer: quantized model in 42.602s
chaiml-1107-quang-ir-mi-97338-v1-mkmlizer: Processed model ChaiML/1107-quang-ir-mixall-cld-i8a6-dpohrd-f5000-dpo_multsth25k_0164641ep_2e6ct in 100.573s
chaiml-1107-quang-ir-mi-97338-v1-mkmlizer: creating bucket guanaco-mkml-models
chaiml-1107-quang-ir-mi-97338-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
chaiml-1107-quang-ir-mi-97338-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/chaiml-1107-quang-ir-mi-97338-v1/nvidia
chaiml-1107-quang-ir-mi-97338-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/chaiml-1107-quang-ir-mi-97338-v1/nvidia/config.json
chaiml-1107-quang-ir-mi-97338-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/chaiml-1107-quang-ir-mi-97338-v1/nvidia/special_tokens_map.json
chaiml-1107-quang-ir-mi-97338-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/chaiml-1107-quang-ir-mi-97338-v1/nvidia/tokenizer_config.json
chaiml-1107-quang-ir-mi-97338-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/chaiml-1107-quang-ir-mi-97338-v1/nvidia/tokenizer.json
chaiml-1107-quang-ir-mi-97338-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.1.safetensors s3://guanaco-mkml-models/chaiml-1107-quang-ir-mi-97338-v1/nvidia/flywheel_model.1.safetensors
chaiml-1107-quang-ir-mi-97338-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/chaiml-1107-quang-ir-mi-97338-v1/nvidia/flywheel_model.0.safetensors
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Job chaiml-1107-quang-ir-mi-97338-v1-mkmlizer completed after 175.39s with status: succeeded
Stopping job with name chaiml-1107-quang-ir-mi-97338-v1-mkmlizer
Pipeline stage MKMLizer completed in 176.05s
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Creating inference service chaiml-1107-quang-ir-mi-97338-v1
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Inference service chaiml-1107-quang-ir-mi-97338-v1 ready after 170.6073236465454s
Pipeline stage MKMLDeployer completed in 171.15s
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Running pipeline stage StressChecker
Received healthy response to inference request in 2.4747350215911865s
Received healthy response to inference request in 2.140047073364258s
Received healthy response to inference request in 2.183724880218506s
Received healthy response to inference request in 2.1446311473846436s
Received healthy response to inference request in 2.1933109760284424s
5 requests
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5th percentile: 2.140963888168335
10th percentile: 2.1418807029724123
20th percentile: 2.1437143325805663
30th percentile: 2.152449893951416
40th percentile: 2.168087387084961
50th percentile: 2.183724880218506
60th percentile: 2.1875593185424806
70th percentile: 2.191393756866455
80th percentile: 2.249595785140991
90th percentile: 2.362165403366089
95th percentile: 2.418450212478638
99th percentile: 2.463478059768677
mean time: 2.227289819717407
Pipeline stage StressChecker completed in 12.84s
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